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GPT-5.6 Terra (low)

★ featured
OpenAI · released 2026-07-09 · 10 recorded token offers

Top 5 cheapest providers (Adjusted $/task)

Within the active global provider, residency and confidentiality filters.

#ProviderPlatformRaw input $/1MRaw output $/1MAdjusted $/task
1Azure AI FoundryAzure AI Foundry$2.00$12.00
2AzureOpenRouter$2.00$12.00
3OpenAIOpenRouter$2.00$12.00
4AWS BedrockAWS Bedrock$2.20$13.20
5Amazon BedrockOpenRouter$2.20$13.20

Benchmarks

Composite60.0
Mean-imputed base40.9
Dominance adjustment+19.2
Composite evidence3/5
AA Coding · unversioned snapshot 2026-09-1058.1
AA Coding Agent · v1.4 · 2026-09-0938.6
AA Intelligence · unversioned snapshot 2026-09-1027.9
DesignArena Frontend · unversioned snapshot 2026-09-10
DesignArena Full-Stack · unversioned snapshot 2026-09-10
Output speed (t/s)83

MODEL EVIDENCE

Benchmark sheet

19 / 73 registered benchmark versions covered · 21 observations including existing index snapshots.

Compare this model ↗
Composite retains Coding Agent v1.4 · source 2026-09-09

The five Composite inputs remain unchanged. Its Coding Agent input is the median across complete harness results in the retained v1.4 snapshot from 2026-09-09. Artificial Analysis now publishes v1.5, with different components. Explore current v1.5 separately. Dated snapshot labels on other indices identify unversioned source captures, not a verified semantic version.

Profile signals

No threshold-crossing signal · 19 eligible benchmark families

How flags are calculated

Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.

Protocol-compatible measured/vendor divergences

No verified protocol-compatible vendor/measured pair is available for this model; agreement cannot be assessed.

Agentic

Agentic: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AA-Briefcase

Version snapshot-2026-09-10

Published board

Tests multi-week professional knowledge-work projects with linked tasks and large source collections.

1014.49 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Briefcase · snapshot-2026-09-10 · Published board
Exact value: 1014.49 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:briefcaseBreakdown.overall.elo
GDPval-AA v2

Version 2

Published board

Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

1177.99 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GDPval-AA v2 · 2 · Published board
Exact value: 1177.99 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:gdpval
Terminal-Bench Hard (AA)

Version 74221fb

Published board

Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.

0.43939 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench Hard (AA) · 74221fb · Published board
Exact value: 0.439393939393939 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:terminalbenchHard
Terminal-Bench v2.1 (AA)

Version 2.1

Published board

Tests terminal-based work on the 89-task verified refresh using Terminus 2.

0.62547 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v2.1 (AA) · 2.1 · Published board
Exact value: 0.625468164794007 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:terminalbenchV21
Terminal-Bench v4.0 (AA)

Version 4.0

Published board

Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.

0.01515 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v4.0 (AA) · 4.0 · Published board
Exact value: 0.0151515151515152 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:terminalbenchV40

Coding

Coding: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
Artificial Analysis Coding Agent Index v1.4

Version 1.4

Codex

The retained AA Coding Agent Index measures coding-agent systems using the earlier three-component implementation.

0.38646 fractionmeasuredobserved 2026-09-09artificialanalysis.ai
Evidence
Axis: Artificial Analysis Coding Agent Index v1.4 · 1.4 · Codex
Exact value: 0.3864628427996264 fraction
Observed: 2026-09-09 · publication date: not recorded
Observation id: aa-coding:1.4:9
SciCode (AA subproblems)

Version 1.0.1

Published board

Tests scientific Python programming with scientist-annotated background information.

0.49884 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: SciCode (AA subproblems) · 1.0.1 · Published board
Exact value: 0.498842592592593 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:scicode
AA Coding Index

Version snapshot-2026-09-10 (unversioned)

Published board

Published AA index from the retained API snapshot. No verified semantic version was supplied.

58.1 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Coding Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 58.1 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_coding_index:gpt-5.6-terra::low
Protocol: inspect · file data/raw/artificialanalysis.json

Instruction-following

Instruction-following: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
IFBench (AA single-turn)

Version snapshot-2026-09-10

Published board

Tests precise single-turn instructions with deterministic rule checks.

0.5966 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: IFBench (AA single-turn) · snapshot-2026-09-10 · Published board
Exact value: 0.596598639455782 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:ifbench

Knowledge

Knowledge: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
Humanity's Last Exam (AA text-only)

Version snapshot-2026-09-10

Published board

Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.

0.29194 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Humanity's Last Exam (AA text-only) · snapshot-2026-09-10 · Published board
Exact value: 0.291936978683967 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:hle
AA-Omniscience Index

Version snapshot-2026-09-10

Published board

Tests factual reliability while rewarding correct answers and penalizing hallucinations.

-6.83333 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Omniscience Index · snapshot-2026-09-10 · Published board
Exact value: -6.83333333333333 points
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:omniscience

Long-context

Long-context: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
GDP.pdf (AA)

Version snapshot-2026-09-10

Published board

Tests professional reasoning over long PDFs with AA document preparation and grading.

0.176 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GDP.pdf (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.176 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:gdpPdfAllPass
AA-LCR v1.1

Version 1.1

Published board

Tests reasoning across multiple long documents with corrected answer keys and grading.

0.71333 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-LCR v1.1 · 1.1 · Published board
Exact value: 0.713333333333333 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:lcr
MLCR-AA

Version snapshot-2026-09-10

Published board

Tests medical-record synthesis and reasoning across long, fragmented case documents.

0.08889 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MLCR-AA · snapshot-2026-09-10 · Published board
Exact value: 0.0888888888888889 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:mlcrOverall

Reasoning

Reasoning: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AA Intelligence Index

Version snapshot-2026-09-10 (unversioned)

Published board

Published AA index from the retained API snapshot. No verified semantic version was supplied.

27.9 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Intelligence Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 27.9 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_intelligence_index:gpt-5.6-terra::low
Protocol: inspect · file data/raw/artificialanalysis.json

Science

Science: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
CritPt (AA)

Version snapshot-2026-09-10

Published board

Tests research-level physics reasoning with Python, symbolic and numerical answers.

0.09429 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: CritPt (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.0942857142857143 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:critpt
GPQA Diamond (AA)

Version snapshot-2026-09-10

Published board

Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.

0.84343 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GPQA Diamond (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.843434343434343 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:gpqa

Tool-use

Tool-use: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AutomationBench-AA

Version 1.0.6

Published board

Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.

0.29106 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AutomationBench-AA · 1.0.6 · Published board
Exact value: 0.29106376138008166 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:automationBenchPartialScore
τ²-Bench Telecom (AA)

Version snapshot-2026-09-10

Published board

Tests dual-control telecom agents that coordinate tool use with a simulated user.

0.60526 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: τ²-Bench Telecom (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.605263157894737 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:tau2
τ³-Banking (AA)

Version 1.0.1

Published board

Tests banking support agents that retrieve policies and change account state through tools.

0.18763 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: τ³-Banking (AA) · 1.0.1 · Published board
Exact value: 0.187628865979381 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:tauBanking

Vision

Vision: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
MMMU Pro (AA)

Version snapshot-2026-09-10

Published board

Tests multimodal understanding using challenging ten-option questions.

0.76127 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MMMU Pro (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.761271676300578 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:cc4a20cd-09fe-4962-a430-119c815e85fa:mmmuPro
Missing coverage · 56 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

Variants / reasoning settings

VariantCoding · snapshot 2026-09-10Intelligence · snapshot 2026-09-10
GPT-5.6 Terra (max)76.742.3
GPT-5.6 Terra (xhigh)70.638.2
GPT-5.6 Terra (high)67.134.5
GPT-5.6 Terra (medium)64.730.4
GPT-5.6 Terra (low)58.127.9
GPT-5.6 Terra (Non-reasoning)52.322.3

GitHub Copilot

Current usage-based billing · model token cost is converted to AI Credits at 1 credit = $0.01.

Input $2.00 / 1M
Cached input $0.200 / 1M
Cache write $2.50 / 1M
Output $12.00 / 1M
Status GA

Token offers by platform — Adjusted $/task

Adjusted costs are modeled USD per task: AA output tokens × OpenRouter usage I/O (Chutes global fallback). These are general usage and benchmark proxies for coding-agent work. Missing AA data assumes 1,000 output tokens/task; unknown cache hit assumes 0%; unmeasured additional cache writes assume 0 tokens. Click any underlined price for exact inputs, dates and assumptions. Raw list prices use the selected fixed input/output blend, in USD per million tokens.

10 offers within the active global filters; “—” means the catalog is active but no public token price is available.

Azure AI Foundry (2)

Azure AI Foundryglobal$2.00 raw in $/1M$12.00 raw out $/1M
Azure AI FoundryeuEU$2.20 raw in $/1M$13.20 raw out $/1M

OpenRouter (6)

Azureglobalazure$2.00 raw in $/1M$12.00 raw out $/1M
OpenAIglobalopenai$2.00 raw in $/1M$12.00 raw out $/1M
Amazon Bedrockglobalamazon-bedrock/us-east-1$2.20 raw in $/1M$13.20 raw out $/1M
Azureeuazure/euEU$2.20 raw in $/1M$13.20 raw out $/1M
OpenAIglobalopenai/fast$4.00 raw in $/1M$24.00 raw out $/1M
Azureglobalazure/us$2.20 raw in $/1M$13.20 raw out $/1M

AWS Bedrock (1)

AWS Bedrockus-east-1$2.20 raw in $/1M$13.20 raw out $/1M

T-Systems LLM Hub (1)

T-Systems LLM HubeuEU$4.09 raw in $/1M$18.39 raw out $/1M
Benchmark Heaven — Model benchmarks & costs